Skip to main content
Fig. 1 | Clinical Epigenetics

Fig. 1

From: Multi-omics integration identifies key upstream regulators of pathomechanisms in hypertrophic cardiomyopathy due to truncating MYBPC3 mutations

Fig. 1

Pairwise analyses using DESeq2 and integrative analyses using unsupervised O2PLS in all samples. a An overview of the study design. b Upper plot: MA (ratio intensity) plot showing the hyper- and hypoacetylation regions in HCM samples compared to controls using DESeq2; bottom plot: principal component analysis (PCA) plot showing the separation between HCM and control samples based on the top differentially acetylated regions using DESeq2. Mean values of normalized counts in all samples are depicted on the x-axis and fold changes (log2) on the y-axis. c Upper plot: PCA plot showing the separation between HCM and control samples based on the top differentially expressed genes using DESeq2; bottom plot: MA plot showing the up-regulated and down-regulated genes in HCM samples compared to controls using DESeq2. d Upper plot: PCA plot showing the separation between HCM and control samples based on the top differentially expressed proteins using DESeq2; bottom plot: MA plot showing the up-regulated and down-regulated proteins in HCM samples compared to controls using DESeq2. e Score plot of the first joint component of the H3K27ac ChIP-seq data showing the separation of HCM hearts from controls. f Score plot of the first joint component of the RNA-seq data discriminating HCM hearts from controls. g Venn diagram showing the overlapping targets between the top 2,000 genes obtained using the integrative approach (O2PLS) and differentially expressed genes obtained using the pairwise comparison (DESeq2). h Enrichment analyses using the overlapping targets, which included 618 up-regulated genes and 308 down-regulated genes

Back to article page